Zobrazeno 1 - 10
of 40 543
pro vyhledávání: '"Karp, A"'
Gradient aggregation has long been identified as a major bottleneck in today's large-scale distributed machine learning training systems. One promising solution to mitigate such bottlenecks is gradient compression, directly reducing communicated grad
Externí odkaz:
http://arxiv.org/abs/2407.01378
Autor:
Benrimoh, David, Armstrong, Caitrin, Mehltretter, Joseph, Fratila, Robert, Perlman, Kelly, Israel, Sonia, Kapelner, Adam, Parikh, Sagar V., Karp, Jordan F., Heller, Katherine, Turecki, Gustavo
INTRODUCTION: The pharmacological treatment of Major Depressive Disorder (MDD) relies on a trial-and-error approach. We introduce an artificial intelligence (AI) model aiming to personalize treatment and improve outcomes, which was deployed in the Ar
Externí odkaz:
http://arxiv.org/abs/2406.04993
Recently, there has been increasing interest in efficient pretraining paradigms for training Transformer-based models. Several recent approaches use smaller models to initialize larger models in order to save computation (e.g., stacking and fusion).
Externí odkaz:
http://arxiv.org/abs/2406.02469
A quasi-exponential is an entire function of the form $e^{cu}p(u)$, where $p(u)$ is a polynomial and $c \in \mathbb{C}$. Let $V = \langle e^{h_1u}p_1(u), \dots, e^{h_Nu}p_N(u) \rangle$ be a vector space with a basis of quasi-exponentials. We show tha
Externí odkaz:
http://arxiv.org/abs/2405.20229
Autor:
Karp, Martin, Suarez, Estela, Meinke, Jan H., Andersson, Måns I., Schlatter, Philipp, Markidis, Stefano, Jansson, Niclas
The never-ending computational demand from simulations of turbulence makes computational fluid dynamics (CFD) a prime application use case for current and future exascale systems. High-order finite element methods, such as the spectral element method
Externí odkaz:
http://arxiv.org/abs/2405.05640
As supercomputers' complexity has grown, the traditional boundaries between processor, memory, network, and accelerators have blurred, making a homogeneous computer model, in which the overall computer system is modeled as a continuous medium with ho
Externí odkaz:
http://arxiv.org/abs/2405.05639
Autor:
Goldstein, Benjamin R., Furnas, Brett J., Calhoun, Kendall L., Larsen, Ashley E., Karp, Daniel S., de Valpine, Perry
Publikováno v:
Diversity and Distributions, 2024 May 01. 30(5), 1-14.
Externí odkaz:
https://www.jstor.org/stable/48769308
Vision tasks are characterized by the properties of locality and translation invariance. The superior performance of convolutional neural networks (CNNs) on these tasks is widely attributed to the inductive bias of locality and weight sharing baked i
Externí odkaz:
http://arxiv.org/abs/2403.15707
Autor:
Karp, Dmitrii, Kuznetsov, Alexey
By replacing the Euler gamma function by the Barnes double gamma function in the definition of the Meijer $G$-function, we introduce a new family of special functions, which we call $K$-functions. This is a very general class of functions, which incl
Externí odkaz:
http://arxiv.org/abs/2403.05708
We present for the first time an experimental investigation of electrohydrodynamic (EHD) flows within a neutrally buoyant drop with initial radius of 2.25 mm. Utilizing particle image velocimetry (PIV) and high-speed shadowgraphy, we measure the inte
Externí odkaz:
http://arxiv.org/abs/2402.13838